UPR at SemEval-2026 Task 9: Multi-Label Polarization and Manifestation Detection in Urdu

TL;DR

The proposed framework achieves a Macro-F1 of 0.75 on Subtask-2 and 0.72 on Subtask-3 on the validation set, which demonstrates the effectiveness of multilingual trans-former models for multi-dimensional polarization analysis in low-resource Urdu text.